Playlist Catch-Up Recording Based on User Interest Profiles
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Solution Overview
Problem
Traditional systems inefficiently record media content without considering user interest, wasting resources and forcing others to re-watch missed portions.
Innovation Solution
A media guidance application determines user interest based on profiles and metadata, selectively recording missed content for interested users only.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional systems record and store the latest portion of content being viewed for all users, then users can catch up on missed content, but resources (tuner time and storage space) are wasted indiscriminately
Solution Approach 1:
The system applies different recording behaviors to different users based on their individual profiles and interests. Instead of uniformly recording for all users, the system selectively records only for users whose profiles indicate interest in the content (e.g., based on genre preferences, viewing history), thereby allocating resources locally to where they are most needed.
Solution Approach 2:
The system changes the parameter of recording activation from a static on/off state to a dynamic state determined by user profile matching. By evaluating profile parameters against content metadata, the system adjusts whether recording should occur, transforming a blanket recording approach into a conditional, interest-based recording strategy.
2Loss of time
If traditional systems store missed portions of content, then users can rewind and watch missed content, but other viewers are forced to consume the same portion again
Solution Approach 1:
The system segments the viewer group into interested and non-interested users based on profile analysis. By identifying which users actually need catch-up content, the system prevents unnecessary playback for others, segmenting the catch-up mechanism's activation to only those who require it, thereby maintaining overall viewing efficiency.
3Reliability
If the system records content for all users regardless of interest, then no user misses out on content, but storage space and tuner time are wasted
Solution Approach 1:
The system performs partial recording action by recording only for the subset of users who are determined to be interested in the content based on profile matching. This partial action approach avoids the excessive action of recording for all users, optimizing storage resource utilization while maintaining content availability for those who need it.
Data Source
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AI summary
Systems and methods are described herein for efficiently "catching-up" a user that is interested in a media asset when that user has missed a portion of the media asset while consuming the media asset together with other people. The system may detect that multiple people are consuming a media asset and may determine, based on a respective profile of each person, whether that person is interested in the media asset. When the system detects that the user is disregarding the media asset, the missed portion of the media asset is stored if the user is interested in the media asset, and is not stored if the user is not interested in the media asset.